Constructor
E-Commerce
ProjectManager-DataScienceIntegrations
Neural analysis suggests this role is
optimal for Manager candidates.
“Project Manager - Data Science Integrations at Constructor. Skills: Data Science Integrations, Machine Learning, Process Improvement. Establish scalable intake processes. Establish prioritization processes”
What You'll Achieve.
Improve visibility into work; Reduce reactive coordination; Ensure balanced workloads; Align workloads with priorities; Reduce manual coordination work; Increase transparency into status; Increase transparency into timelines
Industry & Context.
Identify bottlenecks; Introduce improvements
What They're Looking For.
Must Have
4+ years experience Project Management, 4+ years experience Program Management, 4+ years experience Operations roles, Coordinate complex workflows, Automate complex workflows, Design operational processes, Improve operational processes, Design automation, Improve automation, Identify operational bottlenecks, Introduce scalable process improvements, Operate in fast-growing environments, Improve operational workflows automation, Improve operational workflows AI tools, Improve operational workflows internal tooling
Nice to Have
Experience with data science teams, Experience with experimentation teams, Experience with machine learning teams
What You'll Do.
Establish scalable intake processes
Establish prioritization processes
Establish planning processes
Improve visibility into incoming work
Reduce reactive coordination
Partner with Data Science analysts
Partner with engineering managers
Improve capacity planning
Ensure workloads remain balanced
Align workloads with priorities
Improve cross-team coordination
Reduce manual coordination work
Increase transparency into request status
Increase transparency into workloads
Increase transparency into delivery timelines
Facilitate operational rituals
Facilitate planning preparation
Facilitate cross-team coordination meetings
Support knowledge sharing
Support alignment across teams
How You'll Work.
Team & Collaboration
Cross-functional teams; Data Science Integrations; Machine Learning teams; Customer Success
Process & Methodology
Process management, Planning, Coordination
Full Job Description
About Us powers product search and discovery for some of the largest retailers in the world. We serve billions of requests every week, and you’ve probably seen our results somewhere and used our product without knowing it. We differentiate ourselves by focusing on metrics over features, and reinventing search and discovery from the ground up as a machine learning challenge with the specific goal of improving metrics like revenue. We’re approximately doubling year over year despite the market slow down and have customers in every eCommerce vertical. We’re a passionate team of technologists who love solving problems and want to make our customers’ and coworkers’ lives better. We value empathy, openness, curiosity, continuous improvement, and are excited by metrics that matter. We believe that empowering everyone in a company to do what they think is best can lead to great things. We’re a passionate team of technologists who love solving problems and want to make our customers’ and coworkers’ lives better. We value empathy, openness, curiosity, continuous improvement, and are excited by metrics that matter. We believe that empowering everyone in a company to do what they think is best can lead to great things. About You We are looking for a Project Manager to help coordinate and scale our Data Science Integrations organization — a critical part of how Constructor continuously improves customer outcomes through experimentation, optimization, and machine learning–driven improvements. You are comfortable working in technical, data-driven environments and enjoy coordinating complex workflows across data science, machine learning, and customer-facing teams. You care about operational reliability, clear processes, and reducing friction in how teams collaborate and deliver value to customers. You thrive in environments with growing teams, many stakeholders, and evolving priorities. Rather than reacting to requests one by one, you focus on building scalable processes and opera
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